title: Statistical methods for determining risk factors of chronic otitis media with effusion.
abstract: We use logistic regression with paired Bernouilli outcomes to analyse data on subjects who have either one or two organs (e.g. ears) each of which may develop disease. In this model, subject-specific covariates are related to the probability of developing disease. The proposed method is applied to determine risk factors for chronic otitis media with effusion.
authors.affiliation: Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis 55455.
authors.forename: C T
authors.initials: CT
authors.lastname: Le
authors.forename: B R
authors.initials: BR
authors.lastname: Lindgren
mesh_terms: D000704:Analysis of Variance; D016010:Binomial Distribution; D002648:Child; D002656:Child Day Care Centers / Q000706:statistics & numerical data; D002675:Child, Preschool; D002908:Chronic Disease; D006801:Humans; D007223:Infant; D016015:Logistic Models; D010034:Otitis Media with Effusion / Q000453:epidemiology*; D012044:Regression Analysis; D012307:Risk Factors; D013997:Time Factors